The idea of instilling intrinsic motivation, or `curiosity', into artificial agents has raised a large interest in the RL community [1]}, [2]}, where curiosity is used to generate intrinsic rewards that replace or complement the external reward function. However, what is the best approach to generate intrinsic bonuses is still unsettled and current techniques underperform in certain domains, such as stochastic or ambiguous environments [3]}.
